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Table of contents
1.
Introduction
2.
Sample queries using the Logs Explorer
2.1.
Before you begin
2.2.
Get started
2.3.
Use the sample queries.
2.4.
App Engine queries
2.5.
BigQuery queries
2.6.
Dataflow queries
2.7.
Dataproc queries
2.8.
Cloud Deployment Manager
2.9.
Cloud Functions queries
2.10.
Identity and Access Management queries
2.11.
Cloud Source Repositories queries
2.12.
Cloud Spanner queries
2.13.
Cloud SQL queries
2.14.
Compute Engine queries
2.15.
Cloud Storage queries
2.16.
Cloud Tasks queries
2.17.
Kubernetes-related queries
2.17.1.
Cluster-level queries
2.17.2.
Pod-level queries
2.17.3.
Node-level queries
2.17.4.
Namespace queries
2.17.5.
Container queries
2.18.
Logging agent application queries
2.19.
Networking queries
2.20.
Security logging queries
2.21.
Google Cloud's operations suite queries
3.
Frequently Asked Questions
3.1.
What are client libraries in GCP?
3.2.
What is GCP BigQuery?
3.3.
What is the difference between API and library?
4.
Conclusion
Last Updated: Mar 27, 2024

Query Libraries

Author Sanjana Yadav
0 upvote

Introduction

All of the queries provided may be used in the Logs Explorer, the Logging API, or the command-line interface, although this article focuses on the Logs Explorer.

The Logs Explorer specifies a subset of all log entries in your project using Boolean expressions. These searches can be used to select log items from specific logs or log services or to meet constraints on metadata or user-defined fields.

Sample queries using the Logs Explorer

Before you begin

To view the logs sent from an Amazon Web Services (AWS) account to Logging, use the Logs Explorer after selecting the AWS connector project in the Google Cloud console resource picker. The AWS connector project saves your Amazon Resource Name (ARN) and connects your AWS account to Google Cloud services.

To develop queries using Logs Explorer, ensure you have the appropriate Identity and Access Management permissions or roles.

Get started

To begin building queries with the console, go to Logs Explorer.

Choose the Cloud project or other Google Cloud resource for which you want to see logs.

Use the sample queries.

To use a query from one of the tables listed below, copy an expression, then paste the copied expression into the Logs Explorer query-editor field:

Logs explorer query editor

Source: Google Cloud

Enable Show query if you don't see the query-editor field.

After you've double-checked your query expression, click Run query. Under Query results, you'll see a list of logs that match your query. Some of the queries on this page contain variables that should be replaced with proper values. When a query contains logName, for example, the PROJECT_ID you specify must relate to the currently chosen Cloud project; otherwise, the query will fail.

Take note of the following:

  • If you have a query with a timestamp, the time-range selector is disabled, and the query's time-range restriction is the timestamp expression. If a query does not employ a timestamp expression, the time-range selector is used as a time-range restriction.
     
  • A query cannot be longer than 20,000 characters.
     
  • Except for regular expressions, the Logging query language is case-insensitive.
     
  • For queries using a log_name expression, use the log_id function. For instance, consider the expression.
    log_name="projects/PROJECT_ID/logs/cloudaudit.googleapis.com%2Fdata_access is the same as log_id("cloudaudit.googleapis.com/data_access")

The sections that follow categorize queries by Google Cloud services.

App Engine queries

The following table shows App Engine Queries and their respective expressions:

App engine query Table

BigQuery queries

The following table shows BigQuery Queries and their respective expressions:

BigQuery query Table

Dataflow queries

Dataflow query Table

Dataproc queries

dataproc query Table

Cloud Deployment Manager

Cloud Deployment Manager query Table

Cloud Functions queries

Cloud Functions query Table

Identity and Access Management queries

Identity and Access Management query Table

Cloud Source Repositories queries

Cloud Source Repositories queries table

Cloud Spanner queries

Cloud Spanner queries table

Cloud SQL queries

Cloud SQL queries table

Compute Engine queries

Compute Engine queries table

Cloud Storage queries

Cloud Storage queries table

Cloud Tasks queries

Cloud Tasks queries table

Kubernetes-related queries

Cluster-level queries

Cluster-level queries table 1

Cluster-level queries table 2

Cluster-level queries table 3

Pod-level queries

Pod-level queries table 1

Node-level queries

Node-level queries table

Namespace queries

Namespace queries table

Container queries

Container queries table
Container queries table 2

Logging agent application queries

Logging agent application queries table 1
Logging agent application queries table 2

Networking queries

Networking queries table1
Networking queries table2

Security logging queries

Security logging queries table

Google Cloud's operations suite queries

Google Cloud's operations suite queries table

Frequently Asked Questions

What are client libraries in GCP?

The most recent and advised client libraries for using Google Cloud APIs are called Cloud Client Libraries. Cloud Client Libraries make use of the built-in standards and styles of each supported language to offer an enhanced development experience.

What is GCP BigQuery?

BigQuery is an entirely managed enterprise data warehouse that offers built-in technologies like machine learning, geospatial analysis, and business intelligence to assist you in managing and analyzing your data.

What is the difference between API and library?

The primary distinction between the two is that an API refers to an interface, whilst a library relates to the actual code.

Conclusion

In this article, we have extensively discussed sample queries using Logs Explorer. Our discussion mainly focused on recommended queries to help you identify critical logs in the Google Cloud console's Logs Explorer

We hope this blog has helped you enhance your Google Cloud Platform knowledge. To learn more about Google Cloud Platform concepts, refer to our articles on All about GCP Certifications: Google Cloud Platform | Coding Ninjas Blog.  

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